4 citations · 8 across the 8 of their papers we have counts for
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stat.AP2023
Bi-scale Car-following Model Calibration for Corridor Based on Trajectory
Keke Long, Haotian Shi, Zhiwei Chen +3
The precise estimation of macroscopic traffic parameters, such as travel time and fuel consumption, is essential for the optimization of traffic management systems. Despite its imp…
cs.RO2023★ 2 cited
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
Keshu Wu, Yang Zhou, Haotian Shi +2
Predicting vehicle trajectories is crucial for ensuring automated vehicle operation efficiency and safety, particularly on congested multi-lane highways. In such dynamic environmen…
cs.LG2023★ 2 cited
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction
Keke Long, Zihao Sheng, Haotian Shi +3
In vehicle trajectory prediction, physics models and data-driven models are two predominant methodologies. However, each approach presents its own set of challenges: physics models…